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A deep network approach to multitemporal cloud detection

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 نشر من قبل Adrian Perez-Suay
 تاريخ النشر 2020
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We present a deep learning model with temporal memory to detect clouds in image time series acquired by the Seviri imager mounted on the Meteosat Second Generation (MSG) satellite. The model provides pixel-level cloud maps with related confidence and propagates information in time via a recurrent neural network structure. With a single model, we are able to outline clouds along all year and during day and night with high accuracy.



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